code: def _batchnorm_to_instancenorm(module: BATCHNORM) -> INSTANCENORM:
      """
      Converts a BatchNorm module to the corresponding InstanceNorm module
  
      Args:
          module: BatchNorm module to be replaced
  
      Returns:
          InstanceNorm module that can replace the BatchNorm module provided
      """
  
      def match_dim():
          if isinstance(module, nn.BatchNorm1d):
              return nn.InstanceNorm1d
          elif isinstance(module, nn.BatchNorm2d):
              return nn.InstanceNorm2d
          elif isinstance(module, nn.BatchNorm3d):
              return nn.InstanceNorm3d
          elif isinstance(module, nn.SyncBatchNorm):
              raise UnsupportableModuleError(
                  "There is no equivalent InstanceNorm module to replace"
                  " SyncBatchNorm with. Consider replacing it with GroupNorm instead."
              )
  
      return match_dim()(module.num_features)
  
file_path: opacus/opacus/validators/batch_norm.py
imports: import logging
  import math
  from typing import List, Optional, Union
  import torch.nn
  from .errors import ShouldReplaceModuleError, UnsupportableModuleError, UnsupportedModuleError
  from .utils import register_module_fixer, register_module_validator
label_desc: Use image node_id 4 for calling a global function with example usage: _batchnorm_to_instancenorm(module) and returns: match_dim, nn, nn, nn